Peterc3-dev (PeterC3.dev) · GitHub
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Peterc3-dev/README.md 
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Self-taught systems programmer working at the GPU / driver / ML-runtime boundary. From-scratch on-device NPU inference across two vendors' silicon — AMD (Radeon 890M iGPU + XDNA 2 NPU) and MediaTek (MDLA / APU 650). I build PyTorch backends, patch kernel drivers, drive vendor NPU compilers directly, and write the upstream bug reports for hardware the software stack hasn't caught up to yet — and I publish all of it.

Async / written-first collaborator. Comfortable in Rust and C++ down to the dispatcher, allocator, and SPIR-V level.

Featured work

Project What it actually does
torch-vulkan From-scratch PyTorch device backend (PrivateUse1 + Vulkan compute) for the Radeon 890M iGPU. 39 hand-written SPIR-V compute shaders, custom allocator, buffer pooling, Q4 matmul. C++17 / pybind11. Functional prototype.
amdxdna-strix-fix Kernel driver patch — root-caused and fixed an SMU init-order bug in the in-tree amdxdna driver (Linux 6.14+) that left the Ryzen AI NPU dead on cold boot. Brought an otherwise-unusable NPU online.
mdla-cnn-engine From-scratch INT8 inference engine for a MediaTek MDLA phone NPU (MT6886) — drives the on-device Neuron compiler directly, bypassing the gated NeuroPilot SDK. Four stock CNNs run end-to-end on the NPU through one pipeline, hardware-witnessed. Honestly scoped (CNN-only, stock models — the contribution is the path to the silicon).
recursive-routing-racer Tri-processor dispatch runtime — routes ML workloads across CPU + iGPU (Vulkan) + NPU (XDNA) on Ryzen AI 300. REINFORCE-trained scheduler, SQLite-backed state, hardware monitoring. Working prototype, ~5,100 lines Python.
kv-compressor KV-cache compression experiment with a documented negative result (FINDINGS.md) — measured where the approach stops paying off, written up honestly rather than buried.
graphql-authz-fuzzer GraphQL mutation authorization tester — schema introspection, probe generation, auth-gap classification. Standard-library only, has tests.
cube-memory Research code + the public VSA negative-results preprint (/paper — 12-page PDF, LaTeX source, 6 figures). See Research below.

More AMD / ML systems work

Project What it actually does
recursive-routing-racer-rs LLM inference engine from scratch in Rust — GGUF loading, BPE tokenizer, KV cache, Vulkan GPU dispatch, speculative decoding. Runs Phi-4 Mini at ~5.5 tok/s. Learning project.
pytorch-gfx1150 PyTorch built from source for the Radeon 890M (gfx1150) — build scripts, AOTriton workarounds, GCC 15 fixes, documented.
miopen-gfx1150 MIOpen analysis for RDNA 3.5 — whitelist patch, CK VGPR analysis, solver-availability matrix; 3-bug writeup.
unified-ml HIP + Vulkan unified-memory strategy benchmarks on AMD APUs, plus a GGUF parser (712 lines, 5 quant formats + F32/F16).

Upstream bug reports (RDNA 3.5 / Strix ML-enablement gaps)

Filed reproducible upstream issues against PyTorch, ROCm, and AMD driver projects documenting where the software stack breaks on this silicon. Several triaged by maintainers; one closed after direct collaboration with an AMD engineer. (These are reported & triaged issues, not merged fixes.)

  • PyTorch #178934, #178839 — MIOpen Gemm solvers return workspace_size=0 on gfx1150 (triaged, has-workaround)
  • ROCm/rocm-libraries #6045, #6048 — gfx1150 missing from CK whitelist; CK VGPR mismatch (in triage)
  • ROCm/composable_kernel #3724 — WMMA kernels fail on gfx1150
  • amd/xdna-driver #1257 — aie2_smu_init cold-boot precheck failure (closed after collaboration with AMD)
  • amd/Triton-XDNA #33 — detect_npu_version() doesn't recognize RyzenAI-npu4

Research / writing

"Two Negative Results for Vector Symbolic Architectures" — single-author 12-page preprint showing VSAs fail at FFN replacement (a rank bottleneck: VSA retrieval is rank ≤ top-k while FFN effective rank exceeds 2048) and at compositional image generation, with cross-scale validation on Qwen3-4B / 8B / 27B. Preprint, targeting the NeurIPS Negative Results track — not peer-reviewed. Read it: github.com/Peterc3-dev/cube-memory/tree/master/paper

Currently exploring

  • torch-vulkan — expanding op coverage on the Vulkan/SPIR-V PyTorch backend
  • amdxdna NPU — driver debugging and bring-up on XDNA 2 (Strix Point)
  • Cross-arch ML enablement on RDNA 3.5 + XDNA 2 — building and reporting upstream as gaps surface

Tech

Rust · C++17 · Python · GLSL/SPIR-V · Vulkan (Kompute) · HIP/ROCm · Linux kernel (driver debugging) · CachyOS/Arch · Kotlin / Android SDK · GraphQL · Tailscale

Pinned Loading

  1. agentspyboo agentspyboo Public

    First Rust-based AI red team agent on AMD XDNA 2 NPU — portable, air-gapped, zero-cloud autonomous pentesting

    Rust 1

  2. d-board d-board Public

    Ottholinear Android keyboard - true grid layout for improved typing ergonomics.

    Kotlin

  3. retune432-android retune432-android Public

    Android app to batch-convert audio from A440 to A432 Hz with metadata preservation

    Kotlin

  4. torch-vulkan torch-vulkan Public

    Vulkan compute backend for PyTorch — runs on any GPU. PrivateUse1 dispatch, SPIR-V shaders, zero ROCm/CUDA dependency.

    C++

  5. omnivoice-gfx1150 omnivoice-gfx1150 Public

    Running k2-fsa/OmniVoice voice cloning TTS on AMD Radeon 890M (gfx1150, Strix Point) integrated GPU — report, benchmark, and reproduction guide

    Python 1

  6. recursive-routing-racer-rs recursive-routing-racer-rs Public

    From-scratch Rust + Vulkan LLM inference engine for AMD Radeon 890M — GGUF loading, BPE tokenizer, KV cache, speculative decoding, Q4 matmul. Runs Phi-4 Mini at ~5.5 tok/s. Learning project.

    Rust